Urbanicity and cannabis use are 2 of the more recently discovered and thoroughly investigated environmental risk factors for schizophrenia. There is overwhelming evidence that these 2 factors are linked to schizophrenia. In terms of urbanicity, it has been found that the incidence of schizophrenia is higher in urbanized areas as compared with rural areas. There are currently more than 10 studies that show this association after taking into account various confounding factors, such as age, sex, ethnicity, drug use, social class, and family history, among others.
6 In terms of cannabis use, a recent meta-analysis of 7 association studies consistently showed an increased risk for schizophrenia among the cannabis users.
7 While these studies are of significant interest and intuitively consistent with our general understanding of the origin of schizophrenia (urban living is more stressful than rural and active substances from cannabis may lead to neurochemical imbalances in the brain
8), there are numerous complexities in the interpretation of the results of such epidemiological studies. First of all, it is very difficult to establish cause-effect relations between a putative environmental risk factor and the disease. Although exposure to environmental risk factors exhibits a strong association with the incidence of schizophrenia, the association is by no means a proof of causality. For example, the association between cannabis use and schizophrenia may be a result of self-medication to dull the already present psychotic symptoms, rather than a trigger for schizophrenia.
4 Furthermore, there is evidence that various environmental risk factors actually can be influenced by genetic factors.
9–13 For example, a 3372 twin pair–based study revealed that the concordance rate for cannabis use was 22.3% for MZ twins and 14.5% for dizygotic (DZ) twins (
P < .05) (26.2% and 16.5%, respectively, for illicit drugs in general,
P < .01), which indicates an inherited predisposition to illicit drug use.
10 There are studies that also suggest that an individual who has an inherited risk for psychosis is more likely to use cannabis and also more likely to develop psychotic experiences when exposed to cannabis.
11–13In urbanicity studies, selective migration, where individuals with some specific (partially genetically determined) behavioral traits have tendencies to place themselves in hazardous environmental situations (in this case—large cities), can be one of the reasons behind its association with schizophrenia.
14 A recent study revealed that at least some of the urban-rural differences in schizophrenia risk were more likely to be of genetic, rather than environmental, origin.
15 Briefly, the authors looked at the association between the nearest older sibling's birthplace and the individual's risk for schizophrenia. If the nearest older sibling's birthplace has no effect on the individual's risk for schizophrenia, then urban-rural differences would be linked to the individual's own urban residence. However, if the nearest older sibling's birthplace has an independent effect, then some of the urban-rural differences would be linked to the family's urban residence prior to the individual's conception. In fact, the nearest older sibling's place of birth was independently associated with the risk for schizophrenia, even after taking into account for the individual's birthplace. Furthermore, the individual's place of birth (and upbringing) and the nearest older sibling's place of birth were virtually interchangeable in terms of schizophrenia risk, which suggests that some families may have a genetic liability that is related to the family's migration toward the city. This study showed that even if exposure to urban risk factors precedes the onset of schizophrenia, it may not play a causal role.
Twin studies revealed some further complexities in environment and genetic contributes to the choice of residential location.
16,17 The Australian twin study found significant effects of both shared environment and genes, where shared environment accounted for 50% of the variation in the youngest group but only about 10% in the oldest.
16,17 Interestingly, as contribution from shared environment decreased with age, genetic effects increased. The findings suggested that shared environment plays a more critical role for residential area selection among young individuals, while genes play a greater role in older individuals. However, a similar study conducted using data from The Netherlands twin register did not replicate the Australian findings. The study using Dutch twins found that there was no genetic contribution in selection for place of living in younger or older individuals but rather was entirely due to shared and nonshared environmental factors; the contribution from shared environment was greater among younger individuals, while nonshared environment played a greater role for older individuals.
17 The different outcomes from these 2 studies are thought to be due to the population characteristics of Australia, where there are less than 3 residents per square kilometer, as compared with The Netherlands, where there are more than 480 residents per square kilometer.
17 While it is relatively easy to move from one setting to another in Australia, this is not the case in The Netherlands. The different conclusions of the 2 studies once again illustrate the significant difficulties involved in isolating genetic and environment contribution.
More recently, there has been increasing interest in G × E interactions, and several interactions have been identified so far. For example, Caspi et al
18 found that a functional polymorphism in the catechol-O-methyltransferase gene moderated the influence of adolescent cannabis use on developing schizophrenia. Nicodemus et al
19 found significant G × E interactions between serious obstetric complications and polymorphisms in genes regulated by hypoxia or involved in the vascular function in the brain (
Protein kinase B (
AKT1),
brain-derived neurotrophic factor (
BDNF),
dystrobrevin binding protein 1 (
DTNBP1), and
glutamate receptor - metabotropic 3 (
GRM3)) for increased risk for schizophrenia. Other studies have found interactions between “familial liability” (rather than specific genes) and environmental risk factor. For example, van Os et al
20 found that there is a synergistic interaction between urbanicity and familial liability, where the effect of urbanicity was much larger for individuals with evidence of familial liability to schizophrenia as compared with those without. Although these G × E interaction findings are of significant interest, such data still need to be replicated. More importantly, the autonomy of environmental effects from genetics in the G × E studies, thus far, has not been proven. Therefore, it is difficult to draw any solid conclusions from these findings yet.
The role of environment becomes even more controversial in the light of some adoption and twin studies that do not reveal any evidence of environmental contributions to schizophrenia. For example, a study comparing a Finnish population of adopted children whose mothers had schizophrenia spectrum disorder with adoptees without genetic predisposition found that communication deviance in adoptive parents (ie, hostile family environment) does not increase the risk for schizophrenia unless the adoptee has a high genetic risk for schizophrenia.
21,22 Another study looked at the morbid risk for schizophrenia in the offspring of identical and nonidentical twins who were discordant for schizophrenia.
23 The risk for schizophrenia-like psychosis in the offspring of MZ twin was 16.8% for the affected twin and 17.4% for the normal co-twin, while the risk for DZ twin offspring was 17.4% and 2.1%, respectively, which suggests that genetic predisposition, rather than environmental influences, may play the critical role in schizophrenia. The latter observations are consistent with twin studies of normal (including behavioral) traits in twins, which compared phenotypic differences in MZ twins who were reared together (MZT) with MZ twins who were reared apart (MZA).
24,25 Our current assumption of the effects of the environment on the phenotypic outcome dictates that MZA should be much more different than MZT due to the fact that they are raised in different environments. However, the test results revealed paradoxical findings. If the intraclass correlation (
R) between MZA (
RMZA) and MZT (
RMZT) are expressed as a ratio (
RMZA/
RMZT), out of 22 measurements for which the
RMZA/
RMZT ratio was reported, 15 measurements had values over 0.9.
24,25 The 15 measurements include various scales of Multidimensional Personality Questionnaire, Raven Mill-Hill IQ Test, California Psychological Inventory, social attitudes on religious and nonreligious scales, electroencephalographic patterns, systolic blood pressure, heart rate, electrodermal response amplitude, and performance scale on the Wechsler Adult Intelligence Scale-IQ. The same “anomaly” was also detected in other MZ twin studies. For example, data gathered using the Swedish Twin Registry showed that for migraine susceptibility in female twins, the
RMZA/
RMZT ratio was 1.26.
26 Another study using the same twin registry showed that tobacco smoking in both males and females had a
RMZA/
RMZT of approximately 1.
27 The high
RMZA/
RMZT ratio suggests that environmental effects might not play as big of a role as previously suspected. Additional doubts about the role of environment on the phenotypic outcomes have also been found in animal studies. Inbred animals containing minimal genetic variation and cloned animals that technically should be genetically identical showed considerable phenotypic difference, even in the absence of detectable environmental variation.
28–31All the above-discussed complexities warrant a reevaluation of the environmental contribution to the etiopathogenesis of schizophrenia. Although the role of environmental factors in schizophrenia cannot be excluded, in the absence of good animal models of schizophrenia and in-depth knowledge of the degree of impact of gene-environmental correlation (whereby the genotype of an individual influences the exposure to specific environmental factors), it is nearly impossible to fully prove a causal association between a specific environmental hazard and risk for schizophrenia. We suggest that epigenetic studies of schizophrenia may shed a new light on our understanding of the putative environmental effects. The epigenetic paradigm of schizophrenia can shed a new light on the numerous yet unexplained findings in environmental studies of schizophrenia and estimate the putative environmental contributions in an empirically measurable manner, allowing the integration of inherited and acquired risk factors into a new theoretical framework.